Arup Kumar Malakar

618 total citations
12 papers, 468 citations indexed

About

Arup Kumar Malakar is a scholar working on Molecular Biology, Cancer Research and Organic Chemistry. According to data from OpenAlex, Arup Kumar Malakar has authored 12 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Cancer Research and 1 paper in Organic Chemistry. Recurrent topics in Arup Kumar Malakar's work include RNA and protein synthesis mechanisms (7 papers), Genomics and Phylogenetic Studies (6 papers) and RNA modifications and cancer (5 papers). Arup Kumar Malakar is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), Genomics and Phylogenetic Studies (6 papers) and RNA modifications and cancer (5 papers). Arup Kumar Malakar collaborates with scholars based in India. Arup Kumar Malakar's co-authors include Prosenjit Paul, Supriyo Chakraborty, Debasree Sarkar, Supriyo Chakraborty, Binata Halder, Supriyo Chakraborty, Arif Uddin and Bornali Deb and has published in prestigious journals such as Gene, Journal of Cellular Physiology and Mutation Research/Reviews in Mutation Research.

In The Last Decade

Arup Kumar Malakar

12 papers receiving 462 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Arup Kumar Malakar India	8	345	254	34	25	25	12	468
Renfu Shang United States	7	415 1.2×	327 1.3×	36 1.1×	15 0.6×	23 0.9×	9	543
Ramanpreet Kaur India	6	243 0.7×	230 0.9×	45 1.3×	11 0.4×	11 0.4×	9	385
Jiali Wang China	16	475 1.4×	337 1.3×	50 1.5×	29 1.2×	27 1.1×	34	620
Luis Alberto Bravo-Vázquez Mexico	10	220 0.6×	192 0.8×	23 0.7×	15 0.6×	13 0.5×	18	341
Matthew Ingham Spain	6	303 0.9×	118 0.5×	40 1.2×	17 0.7×	18 0.7×	7	349
Shibo Zhu China	15	361 1.0×	156 0.6×	29 0.9×	15 0.6×	32 1.3×	30	624
Da Liu China	12	233 0.7×	145 0.6×	14 0.4×	20 0.8×	16 0.6×	30	391
Julien Jarroux United States	6	697 2.0×	677 2.7×	37 1.1×	55 2.2×	26 1.0×	7	831

Countries citing papers authored by Arup Kumar Malakar

Since Specialization

Citations

This map shows the geographic impact of Arup Kumar Malakar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Arup Kumar Malakar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arup Kumar Malakar more than expected).

Fields of papers citing papers by Arup Kumar Malakar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arup Kumar Malakar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Arup Kumar Malakar. The network helps show where Arup Kumar Malakar may publish in the future.

Co-authorship network of co-authors of Arup Kumar Malakar

This figure shows the co-authorship network connecting the top 25 collaborators of Arup Kumar Malakar. A scholar is included among the top collaborators of Arup Kumar Malakar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arup Kumar Malakar. Arup Kumar Malakar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Deb, Bornali, et al.. (2020). Allele frequency analysis of GALC gene causing Krabbe disease in human and its codon usage. Gene. 747. 144673–144673. 5 indexed citations

Paul, Prosenjit, Arup Kumar Malakar, & Supriyo Chakraborty. (2019). The significance of gene mutations across eight major cancer types. Mutation Research/Reviews in Mutation Research. 781. 88–99. 22 indexed citations

Paul, Prosenjit, Arup Kumar Malakar, & Supriyo Chakraborty. (2018). Codon usage vis-a-vis start and stop codon context analysis of three dicot species. Journal of Genetics. 97(1). 97–107. 13 indexed citations

Paul, Prosenjit, et al.. (2017). Interplay between miRNAs and human diseases. Journal of Cellular Physiology. 233(3). 2007–2018. 332 indexed citations

Halder, Binata, Arup Kumar Malakar, & Supriyo Chakraborty. (2017). Nucleotide composition determines the role of translational efficiency in human genes. Bioinformation. 13(2). 46–53. 14 indexed citations

Halder, Binata, Arup Kumar Malakar, & Supriyo Chakraborty. (2017). Dissimilar substitution rates between two strands of DNA influence codon usage pattern in some human genes. Gene. 645. 179–187. 1 indexed citations

Paul, Prosenjit, Arup Kumar Malakar, & Supriyo Chakraborty. (2017). Codon usage and amino acid usage influence genes expression level. Genetica. 146(1). 53–63. 13 indexed citations

Chakraborty, Supriyo, et al.. (2017). Codon usage and expression level of human mitochondrial 13 protein coding genes across six continents. Mitochondrion. 42. 64–76. 11 indexed citations

Paul, Prosenjit, Arup Kumar Malakar, & Supriyo Chakraborty. (2017). Compositional bias coupled with selection and mutation pressure drives codon usage in Brassica campestris genes. Food Science and Biotechnology. 27(3). 725–733. 7 indexed citations

10.

Malakar, Arup Kumar, Binata Halder, Prosenjit Paul, & Supriyo Chakraborty. (2016). Cytochrome P450 genes in coronary artery diseases: Codon usage analysis reveals genomic GC adaptation. Gene. 590(1). 35–43. 12 indexed citations

11.

Malakar, Arup Kumar, et al.. (2016). Nasopharyngeal carcinoma: understanding its molecular biology at a fine scale. European Journal of Cancer Prevention. 27(1). 33–41. 33 indexed citations

12.

Malakar, Arup Kumar, et al.. (2015). Allele frequency for Cystic fibrosis in Indians vis-a/-vis global populations. Bioinformation. 11(7). 348–352. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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